Aerodynamic pressure prediction and non-Gaussian characteristics of airborne floating objects under turbulent flows: A hybrid modeling strategy integrating proper orthogonal decomposition and deep learning
Airborne floating objects (AFOs) pose a serious threat to the safe operation of civil aviation and low-altitude aircraft. Accurately determining the flight trajectories of AFOs is an urgent task, with the core component being the precise prediction of wind pressure. This study focuses on AFOs in the form of ellipsoidal...